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Datasets | File | Description | Download |
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Semantic Segmentation for Self Driving Cars | Semantic segmentation is a crucial computer vision technique used in the context of self-driving cars to understand and interpret the environment surrounding the vehicle. It involves the process of assigning semantic labels to each pixel in an image or a series of images, effectively segmenting the image into various meaningful objects or regions. |
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Anime Object Detection Dataset | Adheres to ethical data usage standards, ensuring all content is appropriately licensed and suitable for a broad range of users. |
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Cardboard Box Detection Dataset | Optimize waste collection strategies by locating cardboard disposal points accurately. |
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Hollywood Celebrity Facial Recognition Dataset | Dive into 17 Celebrity Worlds with 100 Glamorous Images Each |
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Papaya Leaf | By leveraging this dataset, professionals can delve into various applications—from pattern recognition in academic research to practical applications in medical imaging. |
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Clean/Littered Road Classification | Globose Technology Solutions Private Limited leads in Clean/Littered Road Classification, using advanced technologies to accurately categorize urban roads. |
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Multi-Class Rice Image Dataset | Explore the world of rice varieties through 15,000 high-quality images |
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Chinese Traffic Signs | Globose Technology Solutions Private Limited specializes in intelligent transportation systems, particularly Chinese Traffic Signs. |
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Flood Area Segmentation | Flood area segmentation is a computer vision and image processing technique used to identify and delineate regions affected by flooding in satellite images, aerial photographs, or other types of remotely sensed imagery. |
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DeepGlobe Land Cover Classification Dataset | Globose Technology Solutions Private Limited is a leader in geospatial innovation, using the DeepGlobe Land Cover Classification Dataset. |
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Explore our extensive collection of new off-the-shelf datasets covering all data types – text, audio, image, and video. Reach out to us now for more information.

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